Evidence map›Paper›PMID 29379425›Full record

ArticleFrontiers in human neuroscience2017

Different Topological Properties of EEG-Derived Networks Describe Working Memory Phases as Revealed by Graph Theoretical Analysis.

Jlenia Toppi, Laura Astolfi, Monica Risetti, Alessandra Anzolin, Silvia E Kober, Guilherme Wood, Donatella Mattia

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Article in Frontiers in human neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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  7. Age-related changes of deep-brain neurophysiological activity.Cerebral cortex (New York, N.Y. : 1991) · 2023
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jlenia ToppiDepartment of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy.
Laura AstolfiDepartment of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy.
Monica RisettiNeuroelectrical Imaging and Brain-Computer Interface Laboratory, Fondazione Santa Lucia IRCCS, Rome, Italy.
Alessandra AnzolinDepartment of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy.
Silvia E KoberDepartment of Psychology, University of Graz, Graz, Austria.
Guilherme WoodDepartment of Psychology, University of Graz, Graz, Austria.
Donatella MattiaNeuroelectrical Imaging and Brain-Computer Interface Laboratory, Fondazione Santa Lucia IRCCS, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several non-invasive imaging methods have contributed to shed light on the brain mechanisms underlying working memory (WM). The aim of the present study was to depict the topology of the relevant EEG-derived brain networks associated to distinct operations of WM function elicited by the Sternberg Item Recognition Task (SIRT) such as encoding, storage, and retrieval in healthy, middle age (46 ± 5 years) adults. High density EEG recordings were performed in 17 participants whilst attending a visual SIRT. Neural correlates of WM were assessed by means of a combination of EEG signal processing methods (i.e., time-varying connectivity estimation and graph theory), in order to extract synthetic descriptors of the complex networks underlying the encoding, storage, and retrieval phases of WM construct. The group analysis revealed that the encoding phase exhibited a significantly higher

Indexed as

brain networksconnectivityEEGgraph theorysternberg taskworking memory

Identifiers

PMID29379425
PMCPMC5770976

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.